Synthesis of Capabilities, Opportunities, and Research Needs in UAS Technology for High-Precision Bridge Inspection

Abstract

This report evaluates the potential role of camera-equipped unmanned aerial systems (UAS) as well as other forms of reality-mapping solutions in supporting bridge inspection practices for the Illinois Department of Transportation (IDOT). Traditional bridge inspections can require substantial labor, specialized access equipment, traffic control, and inspector exposure to hazards such as working at height, near live traffic, and over waterways. Camera-equipped UAS offer opportunities to improve visual access, reduce reliance on access-intensive equipment, minimize traffic disruption, and enhance inspection documentation. This report synthesizes federal and state case studies, regulatory requirements, emerging research, cost considerations, and IDOT bridge inventory characteristics to evaluate where UAS-based inspection can provide the greatest practical value. The findings indicate that camera-equipped UAS are most beneficial for routine visual inspection, rapid assessment, bridge deck screening, and documentation of difficult-to-access components, but are not a universal replacement for conventional methods, particularly for inspections requiring hands-on evaluation. The report also reviews emerging technologies, including autonomous navigation, computer vision-based 3D reconstruction with images and videos, artificial intelligence-assisted damage detection, automated reporting, and complementary sensing tools such as 360-degree cameras. A preliminary benefit-cost analysis and inventory-level prioritization framework are presented to identify bridge scenarios where camera-equipped UAS deployment may offer the greatest benefits in safety, accessibility, efficiency, cost-effectiveness, and inspection quality. Overall, the report recommends that reality-mapping solutions be integrated into a broader digital inspection program for IDOT, supported by targeted pilot studies, updated regulatory and cost assumptions, quality assurance protocols, and careful selection of high-value bridge inspection scenarios.